AUDIO PROCESSING

The course is thought as an introduction to Audio Processing through lectures about Acoustic, Psychoacoustics, Audio Digitalization, Audio Compression, Audio Formats, and useful Audio Libraries for coding oriented to audio signal processing.
During the course, insights will be given about additional topics like noise thresholds in workplace, Shannon’s impact on the subject, or the ffmpeg tool for audio/video stream management.
Finally, relying on the positive experience gathered in the previous years of the course, additional topics will be presented as seminars.

General learning objectives in terms of expected learning outcomes.

1. Knowledge and understanding: The purpose of the course is to acquire knowledge that will enable the student to understand the theoretical and physical mechanisms underlying the human auditory system, the formation and processing of sound and audio signals, the improvement of the quality of audio signals.
2. Ability to apply knowledge and understanding: the student will acquire the skills needed to acquire, edit, compress, and save an audio signal. Particularly a part of the course will be related to an overview of specific software to apply such theoretical knowledge.
3. Making judgments: Through examples in the classroom, the student will be put into the condition of understanding whether the solutions offered by him meet a certain degree of quality.
4. Communication skills: The student will acquire the necessary communication skills and technical language skills in the computer music field.
5. Learning Skills: The aim of the course is to provide the student with the necessary theoretical and practical methodologies to deal with and solve new problems that arise during a work activity. To this end, several topics will be addressed in lesson by involving the student in the search for possible solutions to real problems.

Classroom lessons

Self-assessment tests

Laboratory lessons

Seminars

Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.

No specific requirements.

Attending the course in presence is recommended.

• Acoustic
  • Differences between sound and audio
  • Definitions of physical properties of waves
  • Root Mean Square (RMS)
  • Decibel
  • Inverse square law
  • Speed of sound
  • Refraction, Reflection, Diffraction
  • Octaves in diatonic and temperated scale
  • Introduction to Fourier Analysis
  • Amplitude and Envelope
  • Colored Noises
• Psychoacoustics
  • Physics and Cognition, physiology of hearing
  • Noise tolerance thresholds while working
  • Perception parameters
  • Fletcher-Munson Chart
  • Tone
  • Critical Bands
  • Tonal and Non-Tonal Masking
  • Localization through sound
• Digitalization
  • Digital representation of the sound
  • SNR index
  • Sampling and Aliasing
  • Quantization
  • SNR and SQNR
  • Sound Coding
  • PCM Coding
  • ECC and parity bits
  • Waves amplitude representations
  • Graphic and Parametric Equalizer
  • Filters: HPF, LPF, Shelving, Peaking, Telephone, Walkie-Talkie, etc.
  • Processing on dynamic range
• Compression
  • Compression of silence
  • Memory required
  • μ-law and A-law codings
  • Ri-Quantization
  • DPCM and ADPCM
  • Compression rates
  • Perceptive entropy
  • Compansion technique
  • Perceptive compression: Block Coding, Transform Coding, Sub-band Coding and Huffman Coding
• Audio Formats
  • MPEG formats and its most important variants
  • MP1, MP2 and MP3
  • Advanced audio formats
  • FFmpeg
  • MIDI protocols and messages
• Useful Audio Libraries and relates scripts
  • Audio format conversion using FFmpeg
  • Coding in Python
  • Reading, Conversion, Processing and Writing of an audio file
• Seminars

1. Lombardo, V., & Valle, A. (2014). Audio e Multimedia (IV ed.) Apogeo.
2. For international students: Kirk, R. & Hunt, A. (1999). Digital Sound Processing for Music and Multimedia Focal Press.
3. Tarabella, L. (2014). Musica Informatica Apogeo.
4. Rocchesso, D. (2003). Sound Processing